Senior Staff Engineer, Autonomy Capabilities – Maritime (R5363)

Shield AI; Boston (MA); On-site; USD 221,000 - 331,000; Full time

Benefits offered by this job

Bonus

Benefits

Equity

Job summary

Shield AI is seeking a Senior Staff Engineer to lead the autonomy portfolio for maritime and multi-agent platforms. You will shape architecture and drive evolution of autonomy, blending theory with pragmatic, real-world deployment.

You’ll mentor engineers, decompose complex customer needs into tangible design approaches, and collaborate with perception, planning, and hardware teams to deliver integrated autonomy solutions across platforms.

Qualifications

• BS/MS in CS/EE/ME/AE or equivalent practical experience.
• Minimum 7–10 years of related experience depending on degree.
• Proficiency in C++ and Python; familiarity with RTOS.
• Background in robotics: motion planning, behavior modeling, decision-making, or autonomous system design.
• Experience with unmanned system technologies and related algorithms (space domain preferred).
• Experience with simulation tools (AFSIM, NGTS) for testing/validation.
• Strong problem-solving and teamwork skills in a multidisciplinary environment.
• Ability to obtain SECRET clearance.

Responsibilities

• Robust Motion Planning for USV/UUV/multi-agent platforms with safety constraints.
• Localization and tracking using fusion modalities and observability-aware maneuvering.
• Safe Maritime Operations aligning with COLREGS and operator trust.
• Develop distributed optimization and task allocation for heterogeneous teams.
• Rigorous software development with clear interfaces and mid-to-high TRL insertions.
• Cross-functional collaboration with perception, planning, simulation, hardware, and tests.
• Deploy autonomy capabilities to real-world platforms and analyze mission logs.
• Participate in R&D and road-mapping to advance Shield AI’s autonomy.
• Travel ~25% to offices, sites, and events.

Skills

Motion planning

Behavior modeling

Decision making

Autonomous systems design

Swarm robotics

Education

BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or equivalent

Tools

C++

Python

RTOS

AFSIM

NGTS

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BATaircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.

This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.

About the Job:

Focusing on the maritime portfolio,you’llbecreating autonomy capabilities forUSVs,UUVs, and cooperating UAVsthat enable them to perform advanced single- and multi-agent teamingmissionsbeyond conventional motion planning and waypoint following.The functionality you add will enable teams to use their diverse payloads and maneuvering characteristics tosearch for,localize,andpursuetargets while avoiding sensed threats and obstacles that pose a risk to platform safety.In many of these applications,you’llhave the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms.You’lltraditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs.

As a Senior Staff Engineer, you will lead the technical direction for the portfolio, driving the evolution of autonomy capabilities and architectures across multiple programs.At this level, you’ll combine your deep technical expertise and systems level thinking to not only provide capabilities that meet the needs of the now, but to anticipate the needs of the future to ensure long-term portfolio success.You’ll take an active role in mentoring engineers across the organization and be a key expert that leadership leans-on for decomposing ambiguous customer needs into tangible design approaches.

What you’ll do:

• RobustMotion Planning–Automate unmanned surface vehicle (USV)and/or unmanned underwater vehicle (UUV)maneuvering throughadvanced motion planningandadherence to safety constraints includingkeep-out volumes, cooperative and uncooperative vehicles,anddepth limitations
• Localization andTracking–Employcutting edgeapproaches forpassiveand activelocalizationbydefiningfusionmodalities, sensor requirements, andobservability-aware maneuvering capabilitiesto maximizeinformation gleaned from single- or multi-agent sensor networks
• Safe Maritime Operations–Keep vehiclesafetyas a central focus within autonomous behavior architectures toprovide run-time assurance, ensureCOLREGSadherence, andbuild operator trust in advanced mission autonomy
• Heterogeneous Multi-Agent Collaboration– Develop distributed optimization and task allocation approaches for heterogenous teamingin ordertoaccomplishmissionobjectivesby maximallyutilizingthe diverse capabilities of agents to overall team advantage
• Rigorous Software Development– Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions
• Cross-Functional Collaboration– Collaborate with cross-functional teams includingperception, planning, simulation, hardware, andoperationaltest to ensure seamless integration of autonomy solutions on real-world platforms
• Deployment & TestSupport– Deploy autonomy capabilities to realsurfacevehicles, supportingintegration and demonstration events as well asanalysis ofmissionlogs to verify softwareperformanceandvalidatesystem operational effect
• R&D and Road-mapping– Contribute to autonomy roadmapsby researching and prototyping new algorithms,identifyingtactical capability gaps, and proposing novel solutions that advance Shield AI’s mission
• Travel Requirement– Members of this team typically travel around25%of the year (to different office locations, customer sites, and flight integration events).

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
• Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design.
• Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
• Ability to obtain a SECRET clearance.

Preferred Qualifications:

• Experiencein multiple aerospace domains (e.g., air, land, sea, space)
• Experience across a breadth of methodologies from classical control through optimization and appliedML/RL
• Background in collaborative behaviorsandswarm robotics
• Familiarity withdomain-relevantDoD or government programs
• Hands-on experience supportingintegration events, customer demos, and/orlive exercises

$220,800 - $331,200 a year

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toequal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.